B.4: NVIDIA kaolin tools and resources: Difference between revisions
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• '''Reference, URL''': https://github.com/NVIDIAGameWorks/kaolin | • '''Reference, URL''': https://github.com/NVIDIAGameWorks/kaolin | ||
• ''' | • '''Applicable Business Category''': MAnufacturing : WEEE & Battery | ||
• '''Application in relevant Projects/Initiatives''': N.A. | • '''Application in relevant Projects/Initiatives''': N.A. | ||
• '''Type''': Datasets / ML model / Utilities | • '''Asset Type''': Library (Datasets / ML model / Utilities) | ||
• '''AI Breadth''': DL, computer vision | • '''AI Breadth''': DL, computer vision | ||
| Line 15: | Line 15: | ||
• '''Learning Ability''': Supervised & Unsupervised learning | • '''Learning Ability''': Supervised & Unsupervised learning | ||
• '''Related technologies''': | • '''Related technologies''': N.A | ||
• '''Applicable Research Area''': | • '''Applicable Research Area''': Physical AI | ||
• '''Applicable Technical Category''': | • '''Applicable Technical Category''': Machine Learning | ||
• '''License Information''': Apache License 2.0 (Apache-2.0) | • '''License Information''': Apache License 2.0 (Apache-2.0) | ||
| Line 29: | Line 25: | ||
• '''Related to circularity and sustainability''': No | • '''Related to circularity and sustainability''': No | ||
• '''Audience''': | • '''Audience''': Manufacturers | ||
Latest revision as of 09:29, 27 December 2024
• Short Description: NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, fast conversions between representations, data loading, 3D checkpoints and more.
• Reference, URL: https://github.com/NVIDIAGameWorks/kaolin
• Applicable Business Category: MAnufacturing : WEEE & Battery
• Application in relevant Projects/Initiatives: N.A.
• Asset Type: Library (Datasets / ML model / Utilities)
• AI Breadth: DL, computer vision
• Learning Ability: Supervised & Unsupervised learning
• Related technologies: N.A
• Applicable Research Area: Physical AI
• Applicable Technical Category: Machine Learning
• License Information: Apache License 2.0 (Apache-2.0)
• Related to circularity and sustainability: No
• Audience: Manufacturers
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